Sielemann J, Sielemann K, Brejová B, Vinař T, Chauve C. plASgraph - using graph neural networks to detect plasmid contigs from an assembly graph. bioRxiv. 2022
<p>Block diagram of the proposed deep vector-based convolutional neural network for classification o...
Database of the article "Combining graph neural networks and computer vision methods for cell nuclei...
<p>The dendrogram was constructed as explained in Methods. Reconstructed plasmids are indicated with...
Identification of plasmids from sequencing data is an important and challenging problem related to a...
Graph Neural Networks (GNNs) have known an important and fast development in the last decade, with m...
Supplementary information: A tutorial video and various solved examples are available at Bioinforma...
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particula...
Recent advancements in experimental high-throughput technologies have expanded the availability and ...
<p>The chart shows parallel versions of the iterative clustering algorithm that clusters raw scaffol...
Razdvajanje haplotipa je bitan zadatak u bioinformatici s raznim primjenama u stvarnom svijetu. Trad...
Plasmids are important genetic elements that facilitate horizonal gene transfer between bacteria and...
Proces automatske rekonstrukcije sekvence genoma iz manjih sekvenci (očitanja) još uvijek nije potpu...
There are many real-world systems consisting of interacting entities that can be modeled by the powe...
The function of most biological systems is realized by the interaction of proteins with other biolog...
Plasmodium of Physarum polycephalum spans sources of nutrients and constructs varieties of protoplas...
<p>Block diagram of the proposed deep vector-based convolutional neural network for classification o...
Database of the article "Combining graph neural networks and computer vision methods for cell nuclei...
<p>The dendrogram was constructed as explained in Methods. Reconstructed plasmids are indicated with...
Identification of plasmids from sequencing data is an important and challenging problem related to a...
Graph Neural Networks (GNNs) have known an important and fast development in the last decade, with m...
Supplementary information: A tutorial video and various solved examples are available at Bioinforma...
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particula...
Recent advancements in experimental high-throughput technologies have expanded the availability and ...
<p>The chart shows parallel versions of the iterative clustering algorithm that clusters raw scaffol...
Razdvajanje haplotipa je bitan zadatak u bioinformatici s raznim primjenama u stvarnom svijetu. Trad...
Plasmids are important genetic elements that facilitate horizonal gene transfer between bacteria and...
Proces automatske rekonstrukcije sekvence genoma iz manjih sekvenci (očitanja) još uvijek nije potpu...
There are many real-world systems consisting of interacting entities that can be modeled by the powe...
The function of most biological systems is realized by the interaction of proteins with other biolog...
Plasmodium of Physarum polycephalum spans sources of nutrients and constructs varieties of protoplas...
<p>Block diagram of the proposed deep vector-based convolutional neural network for classification o...
Database of the article "Combining graph neural networks and computer vision methods for cell nuclei...
<p>The dendrogram was constructed as explained in Methods. Reconstructed plasmids are indicated with...
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